We run experiments to
validate
ideas.
“What absolutely must be True for this business idea to succeed?” Those key questions are the foundation of our structured experiments—
“What absolutely must be True for this business idea to succeed?” Those key questions are the foundation of our structured experiments—
/OUR MISSION/
To build investor-ready business models that scale easily with confidence
01
Blue Ocean Strategy
We start with market research and existing solutions analysis to discover unmet needs and overlooked opportunities, looking beyond crowded markets to find sweet spot for innovation.
02
Business Model Design
Once we identify an opportunity, we brainstorm and visually structure raw ideas into Business Model Canvas and Value Proposition Canvas, ready to make some testable assumptions
03
Customer Development
We engage directly with potential customers to understand their jobs, pains and gains, then conduct various experiments to validate our solution hypotheses.
04
Lean Startup Method
We develop light-weight prototypes and continuously refine our MVPs using the Build-Measure-Learn Feedback Loop until we feel very confident that the Product is investor-ready.
01
Blue Ocean Strategy
We start with market research and existing solutions analysis to discover unmet needs and overlooked opportunities, looking beyond crowded markets to find sweet spot for innovation.
02
Business Model Design
Once we identify an opportunity, we brainstorm and visually structure raw ideas into Business Model Canvas and Value Proposition Canvas, ready to make some testable assumptions
03
Customer Development
We engage directly with potential customers to understand their jobs, pains and gains, then conduct various experiments to validate our solution hypotheses.
04
Lean Startup Method
We develop light-weight prototypes and continuously refine our MVPs using the Build-Measure-Learn Feedback Loop until we feel very confident that the Product is investor-ready.
01
Blue Ocean Strategy
We start with market research and existing solutions analysis to discover unmet needs and overlooked opportunities, looking beyond crowded markets to find sweet spot for innovation.
02
Business Model Design
Once we identify an opportunity, we brainstorm and visually structure raw ideas into Business Model Canvas and Value Proposition Canvas, ready to make some testable assumptions
03
Customer Development
We engage directly with potential customers to understand their jobs, pains and gains, then conduct various experiments to validate our solution hypotheses.
04
Lean Startup Method
We develop light-weight prototypes and continuously refine our MVPs using the Build-Measure-Learn Feedback Loop until we feel very confident that the Product is investor-ready.
01
Blue Ocean Strategy
We start with market research and existing solutions analysis to discover unmet needs and overlooked opportunities, looking beyond crowded markets to find sweet spot for innovation.
02
Business Model Design
Once we identify an opportunity, we brainstorm and visually structure raw ideas into Business Model Canvas and Value Proposition Canvas, ready to make some testable assumptions
03
Customer Development
We engage directly with potential customers to understand their jobs, pains and gains, then conduct various experiments to validate our solution hypotheses.
04
Lean Startup Method
We develop light-weight prototypes and continuously refine our MVPs using the Build-Measure-Learn Feedback Loop until we feel very confident that the Product is investor-ready.
Strategyzer's Testing Business Ideas
Strategyzer's Testing Business Ideas
A practical guide to reducing risk and increasing success in innovation. It introduces a structured, evidence-based approach to testing ideas through rapid experimentation. By prioritizing hypotheses, running cost-effective experiments, and analyzing real-world data, entrepreneurs and teams can validate their business models before making big investments.
01
Make Hypothesis
We define assumptions about a problem, solution, and market fit to test desirability, viability, feasibility, and adaptability risks for every product idea.
01
Make Hypothesis
We define assumptions about a problem, solution, and market fit to test desirability, viability, feasibility, and adaptability risks for every product idea
01
Make Hypothesis
We define assumptions about a problem, solution, and market fit to test desirability, viability, feasibility, and adaptability risks for every product idea.
01
Make Hypothesis
We define assumptions about a problem, solution, and market fit to test desirability, viability, feasibility, and adaptability risks for every product idea.
02
Run Experiment
We design a set of experiments based on hypotheses, risk types, evidence strength, costs and setup time. Start small, test fast, and define success metrics beforehand.
02
Run Experiment
We design a set of experiments based on hypotheses, risk types, evidence strength, costs and setup time. Start small, test fast, and define success metrics beforehand.
02
Run Experiment
We design a set of experiments based on hypotheses, risk types, evidence strength, costs and setup time. Start small, test fast, and define success metrics beforehand.
02
Run Experiment
We design a set of experiments based on hypotheses, risk types, evidence strength, costs and setup time. Start small, test fast, and define success metrics beforehand.
03
Collect Evidence
We collect qualitative and quantitative data, synthesize and categorize them into themes. More fact-based data points mean stronger reliability and higher confidence levels.
03
Collect Evidence
We collect qualitative and quantitative data, synthesize and categorize them into themes. More fact-based data points mean stronger reliability and higher confidence levels.
03
Collect Evidence
We collect qualitative and quantitative data, synthesize and categorize them into themes. More fact-based data points mean stronger reliability and higher confidence levels.
03
Collect Evidence
We collect qualitative and quantitative data, synthesize and categorize them into themes. More fact-based data points mean stronger reliability and higher confidence levels.
04
Gain Insight
We analyze evidence to confirm or reject a hypothesis. Sometimes it’s unclear, or it's a new insight. The key is real-time, actionable learning on the fly.
04
Gain Insight
We analyze evidence to confirm or reject a hypothesis. Sometimes it’s unclear, or it's a new insight. The key is real-time, actionable learning on the fly.
04
Gain Insight
We analyze evidence to confirm or reject a hypothesis. Sometimes it’s unclear, or it's a new insight. The key is real-time, actionable learning on the fly.
04
Gain Insight
We analyze evidence to confirm or reject a hypothesis. Sometimes it’s unclear, or it's a new insight. The key is real-time, actionable learning on the fly.
05
Data-driven Action
We decide whether to test a new hypothesis, re-test the same one, to update our value proposition/ business model or dropping the idea forever.
05
Data-driven Action
We decide whether to test a new hypothesis, re-test the same one, to update our value proposition/ business model or dropping the idea forever.
05
Data-driven Action
We decide whether to test a new hypothesis, re-test the same one, to update our value proposition/ business model or dropping the idea forever.
05
Data-driven Action
We decide whether to test a new hypothesis, re-test the same one, to update our value proposition/ business model or dropping the idea forever.
Interested in Research Collab?
We’re open to collaborations to anybody —let’s explore insights, test ideas, and create something meaningful together.
Some findings on the Internet
Stay ahead with actionable insights, expert advice, and practical strategies for digital success.
